Acquiring Classifiers for Bipolarized Reward by XCS in a Continuous Reward Environment

In data mining, it is important to clarify how effective the acquired rules are and which elements are affected by rule evaluation. Extended learning classifier system (XCS) reveals factors that affect the classifier (rule) evaluation by generalizing the multiple classifiers that acquire the same re...

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Bibliografische gegevens
Hoofdauteurs: Takato Tatsumi, Keiki Takadama
Formaat: Artikel
Taal:English
Gepubliceerd in: Taylor & Francis Group 2019-05-01
Reeks:SICE Journal of Control, Measurement, and System Integration
Onderwerpen:
Online toegang:http://dx.doi.org/10.9746/jcmsi.12.124